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dc.contributor.authorTemiz, Hüseyin
dc.contributor.authorGökberk, Berk
dc.contributor.authorAkarun, Lale
dc.date.accessioned2020-02-04T12:51:49Z
dc.date.available2020-02-04T12:51:49Z
dc.date.issued2019en_US
dc.identifier.citationTemiz, H., Gökberk, B. & Akarun, L., (6-9 November, 2019). Multi-view reconstruction of 3D human pose with procrustes analysis, 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA 2019), pp. 1-5, DOI: https://doi.org/10.1109/IPTA.2019.8936071en_US
dc.identifier.isbn9781728139746
dc.identifier.isbn9781728139753
dc.identifier.isbn9781728139760
dc.identifier.issn2154-512X
dc.identifier.issn2154-5111
dc.identifier.urihttps://doi.org/10.1109/IPTA.2019.8936071
dc.identifier.urihttps://hdl.handle.net/20.500.11779/1297
dc.description.abstractRecovery of 3D human pose from cameras has been the subject of intensive research in the last decade. Algorithms that can estimate the 3D pose from a single image have been developed. At the same time, many camera environments have an array of cameras. In this paper, after aligning the poses obtained from single images using Procrustes Analysis, median filtering is utilized to eliminate outliers to find final reconstructed 3D body joint coordinates. Experiments performed on the CMU Panoptic, and Human3.6M databases demonstrate that the proposed system achieves accurate 3D body joint reconstructions. Additionally, we observe that camera selection is useful to decrease the system complexity while attaining the same level of reconstruction performance.en_US
dc.description.sponsorshipIEEE France Section, IEEE Turkey Section, Universite Paris-Saclay, Yeditepe University.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2019 Ninth International Conference on Image Processing Theory, Tools and Applications = IPTA 2019en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject3D Human Pose Estimationen_US
dc.subjectProcrustes Analysisen_US
dc.subjectMulti-View Camera Reconstructionen_US
dc.titleMulti-view reconstruction of 3D human pose with procrustes analysisen_US
dc.typeconferenceObjecten_US
dc.departmentMühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.authoridBerk Gökberk / 0000-0001-6299-1610en_US
dc.identifier.startpage1en_US
dc.identifier.endpage5en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.description.wosidWOS:000529320000002en_US
dc.description.scopusid2-s2.0-85077969563en_US
dc.contributor.institutionauthorGökberk, Berk
dc.description.woscitationindexConference Proceedings Citation Index- Scienceen_US
dc.description.WoSDocumentTypeProceedings Paperen_US
dc.description.WoSPublishedMonthKasımen_US
dc.description.WoSIndexDate2019en_US
dc.description.WoSYOKperiodYÖK - 2019-20en_US
dc.identifier.doi10.1109/IPTA.2019.8936071en_US


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